Researchers using iPSC-derived neurons and glia for ALS models have found that WOLF’s gentle, low-pressure sorting preserves fragile cells’ viability and function—unlike traditional droplet sorters.
The NanoCellect VERLO Image-Guided Cell Sorter is mentioned in the attached Nature Reviews Bioengineering paper (Ding et al., 2025) reviewing commercially available Image-Activated Cell Sorting systems.
Preprint on bioRxiv shows that plasma p-tau181, NfL, and GFAP effectively differentiate Alzheimer’s from FTD and DLB, while Aβ₁₋₄₂/₁₋₄₀ adds little diagnostic value.
Single-nuclei sequencing (SNS) is a transformative approach for dissecting cellular diversity in complex tissues like the brain. Effective isolation of high-quality cells with intact nuclei is essential for the success of this technique.
This case report by Justin Watts and colleagues describes a patient with relapsed acute myeloid leukemia (AML) harboring IDH1 and NPM1 mutations who achieved a functional cure using olutasidenib alone — an oral, selective mIDH1 inhibitor.
This study evaluates clustering methods for multi-slide spatial transcriptomics (ST) data, analyzing preprocessing techniques like PASTE and Harmony to guide method selection.
The Mission Bio AML single-cell MRD assay quantitatively characterizes SNVs and surface protein expression simultaneously across thousands of individual cells. In contrast, bulk NGS requires averaging across the entire population.
Single-cell omics provide undiluted information about individual cells, such as transcription levels and sequences of highly variable proteins.Miniaturizing the assay helps scale down analysis to the single-cell level without sacrificing data quality
This application note introduces the new in situ rinse program. This workflow delivers the same high purity of rare cells as the traditional “serial program” and additionally significantly enhances throughput.
This presentation introduces the VERLO™ Image-Guided Cell Sorter from NanoCellect. VERLO integrates advanced image-guidance technology with cell sorting, enhancing precision and efficiency.
We adapted a previously developed targeted single-nucleus DNA sequencing (snDNA-seq) method and constructed a new suite of computational analysis tools to study 137,491 single-nucleus DNA libraries from 24 pancreatic cancers